andymilne/Sparse-Array-Toolbox

A fast toolbox for N-dimensional sparse arrays
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Updated 12 Oct 2021

For sparse data, sparse formats can significantly increase speed and reduce memory requirements. However, MATLAB’s built-in sparse format represents only vectors and matrices, not N-dimensional arrays (tensors). This toolbox contains a new "sparse array structure" and associated operations – outer, entrywise, and inner products, addition, summation, convolution, distance measures, permutation, (circular) shifts, and other manipulations – that can be applied to N-dimensional full arrays or to sparse array structures. All functions have been carefully designed to optimize speed.
See SparseArrayToolbox.pdf for more information.

Cite As

Andrew Milne (2024). andymilne/Sparse-Array-Toolbox (https://github.com/andymilne/Sparse-Array-Toolbox), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2017a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.1.0.0

Updated description.
Functions can now accept full arrays as well as sparse array structures. Documentation updated. Some speed improvements and bugs fixed.

1.0.0.0

Update overview
Graphic added
New description

Change to summary.

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.